Publications, Activities, and Awards
- A Novel Viscoelastic Model for Predicting the Viscoelastic Behavior of Synthetic Polymers using Direct Extensional Rheological Measurements
- Can low salinity water injection be an efficient option for the Recô ncavo Basin? An experimental and simulation case study
- Closed-Loop Reservoir Management Using Nonlinear Model Predictive Control: A Field Case Study
- Closed-Loop reservoir management using nonlinear model predictive control: A field case study
- CO2 Foam and CO2 Polymer Enhanced Foam for Heavy Oil Recovery and CO2 Storage
- Data analytics and integration for oilfield development
- Data Analytics and Machine Learning for SAGD/Heavy Oil Real-time Closed Loop Reservoir Predictions and Optimization
- Data-Driven Steam Optimization for SAGD
- Does Polymer& rsquo$\mathsemicolon$s Viscoelasticity Influence Heavy-Oil Sweep Efficiency and Injectivity at 1 ft/D?
- Does Polymer's Viscoelasticity Influence Heavy Oil Sweep Efficiency and Injectivity at 1ft/day?
- Effect of Surfactant Type, Rock Type, Brine Salinity and Ionic Composition on Zeta Potential and Phase Behavior: An Experiemental Approach
- Evaluating the Performance of CO2 Foam and CO2 Polymer Enhanced Foam for Heavy Oil Recovery: Laboratory Experiments in Unconsolidated and Consolidated Porous Media
- Evaluation of Polymer-Assisted Carbonated Water Injection in Sandstone Reservoir: Absorption Kinetics, Rheology, and Oil Recovery Results
- Extensional Rheological Data from Ex-situ Measurements for Predicting Porous Media Behaviour of the Viscoelastic EOR Polymers
- Extensional Rheological Role on the Viscoelastic Polymer Flooding: Unanswered Questions, Myth or Reality?
- Heavy Oil Recovery Processes and Reservoir Optimization with GHG Sequestration
- IFT or wettability alteration: What is more important for oil recovery in oil-wet formation?
- Integration of data-driven models for inference of reservoir heterogeneities in SAGD production analysis
- Investigating the Viscoelastic Polymer’s Rheological Influences on the Sweep Efficiency and Injectivity During Heavy Oil Recovery Applications
- Low Salinity Water Injection in a Clastic Reservoir in Northeast Brazil: An Experimental Case Study
- Machine learning models and advanced optimization techniques for thermal/thermal-solvent recovery optimization
- Modelling Reduction in Residual Oil Saturation during Enhanced Oil Recovery Process
- Nonlinear Model Predictive Control of Steam-Assisted-Gravity-Drainage Well Operations for Real-Time Production Optimization
- Novel Viscoelastic Model for Predicting the Synthetic Polymer’s Viscoelastic Behavior in Porous Media Without Core Flood
- Optimization of reservoir operations for an oilfied in Peru
- Optimization of Steam Allocation for Heavy Oil Reservoirs
- Optimization of Steam Injection for Heavy Oil Reservoirs Using Reinforcement Learning
- Optimization of steam injection in SAGD using reinforcement learning
- Overview of Research Advancement - In-Situ Heavy Oil Recovery
- Overview of Research Advancement in In-Situ Heavy Oil and Shale Recovery and GHG Emissions Management
- Performance Assessment of Ensemble Kalman Filter and Markov Chain Monte Carlo under Forecast Model Uncertainty
- Performance of ensemble Kalman filter and Markov chain Monte Carlo under uncertainty in forecast model
- Performance of ensemble Kalman filter and Markov chain Monte Carlo under uncertainty in forecast model
- Polynomial-Chaos-Expansion Based Metamodel for Computationally Efficient Data Assimilation in Closed-Loop Reservoir Management
- Progress on Optimization of Steam-Solvent Thermal Process for Efficient In-Situ Recovery and Reducing GHG Emissions
- Quantification of Sor Reduction during Polymer Flooding Using Extensional Capillary Number
- Quantification of the viscoelastic effects during polymer flooding: a critical review
- Real-Time Production Optimization of Steam-Assisted-Gravity-Drainage Reservoirs Using Adaptive and Gain-Scheduled Model-Predictive Control: An Application to a Field Model
- Real-Time Steam Allocation Workflow Using Machine Learning for Digital Heavy Oil Reservoirs
- Real-time steam allocation workflow using machine learning for digital heavy oil reservoirs
- Research Collaboration Meeting with NRCan
- Reservoir management and advanced optimization for thermal and thermal-solvent based in-situ recovery processes - Joint Workshop
- Reservoir Management and Advanced Optimization for Thermal and Thermal-Solvent based Recovery Processes using Scaled Models and Machine Learning - Current Status
- Single-Step Silica Nanofluid for Improved Carbon Dioxide Flow and Reduced Formation Damage in Porous Media for Carbon Utilization
- Static and Dynamic Performance ofWet Foam and Polymer-Enhanced Foam in the Presence of Heavy Oil
- Stimulation of Mature Oilfields
- The Effect of Surfactant and Brine Type on Zeta Potential and Oil Recovery During Low Salinity Water Flooding in Carbonate Rocks
- The Influence of Rock Composition and pH on Reservoir Wettability for Low-Salinity Water-CO2 Enhanced Oil Recovery Applications in Brazilian Reservoirs
- Updates on development of real-time optimization frameworks and machine learning algorithms
- Upstream Oil & Gas Industry: Past, Present and Future
- Zero Net Carbon (Less Water and Energy) thermal process for in-situ oil sand recovery with GHG capture and utilization